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    MAHARASHTRA COLLEGE OF PHARMACY

    APPLICATION OF cDNA MICROARRAY TECHNOLOGY IN CARCINOGEN IDENTIFICATION Page 1

    INTRODUTION

    A DNA microarray is a multiplex technology used in molecular biology

    and in medicine.

    Microarray technology evolved from southern blotting where

    fragmented DNA is attached to a subtrateand then probed with a known

    gene or fragment .

    The basic principle underlying microarray technology is that

    complementary nucleic acids will hybridize. Hybridization provides exquisite

    selectivityof complementary stranded nucleic acids, with high sensitivityand

    specificity. In the traditional techniques, in which radioactivelabeling

    materials are usually used, the simultaneous hybridizationof test and

    reference samples is impossible

    DNA microarray technology has empowered the scientific community

    to understanding the fundamental aspect underlying the growth and

    development of life as well as to explore the genetic cause of anomalities

    occurring in the functioning of the human body.

    A typical microarray experiment involves the hybridization of an mRNA

    molecule to the DNA template from which it is originated.

    The advantages of the cDNA microarray comparedwith the

    oligonucleotide array have been thought to includeless susceptibility and

    higher specificity due to the longersequences of the targets .However,

    cDNAmay contain repetitive sequences that are often observed invarious

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    MAHARASHTRA COLLEGE OF PHARMACY

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    3. Comparative Genomic Hybridization

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    Principal of micro array technology;

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    The basic principle underlying micro array technology is thatcomplementary

    nucleic acids will hybridize. Hybridization provides exquisite selectivityof

    complementary stranded nucleic acids, with high sensitivityand specificity. In

    the traditional techniques, in which radioactive

    labeling materials are usually

    used, the simultaneous hybridizationof test and reference samples is

    impossible

    In micro array-basedtechnologies, the solid surface, such as a glass

    slide, containshundreds to thousands of immobilized DNA (targets) spots

    whichcan be simultaneously hybridized with two samples (probes) labeledwith

    different fluorescent

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    Applications include:

    Technology or

    ApplicationSynopsis

    Gene expression

    profiling

    used to identify genes whose expression is

    changed in response to pathogens or other

    organisms by comparing gene expression in

    infected to that in uninfected cells or tissues.

    Chromatin

    immunoprecipitation

    on Chip

    DNA sequences bound to a particular protein can

    be isolated by immunoprecipitating that protein

    these fragments can be then hybridized to a

    microarray allowing the determination of protein

    binding site occupancy throughout the genome.

    SNP detection

    microarrays make use of SNP detection, including

    Genotyping, forensic analysis, measuring

    predisposition to disease, identifying drug-

    candidates, evaluating germline mutations in

    individuals or somatic mutations in cancers,

    assessing loss of heterozygosity, or genetic

    linkage analysis.

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    Gene expression:The sequence of a gene does not give information about its activity. A

    gene must be transcribed into mRNA to be expressed (or turned ON). The

    level of expression (or activity) of a gene can therefore be studied by

    measuring how much corresponding mRNA is made (transcribed) from a

    particular gene.

    The sequence of a gene is complementary to the sequence of its mRNA.

    Therefore the mRNA can base pair (or hybridize) to the DNA strand it was

    copied from (template strand). Scientists study gene expression by

    measuring the amount of mRNA for different genes.

    ALL of our cells contain the exact same DNA sequence. All cells arose

    from a single cell (the egg). However different type of cells in the body

    expresses different sets of genes. For example, a liver cell expresses some

    of the same genes expressed in lung cells or skin cells but also expresses

    genes that no other cell type expresses (liver-specific genes). As a result

    liver cells look different from other cells in the body and do things that no

    other cell can do.

    Microarrays are simply a method for visualizing which genes are likelyto be used in a particular tissue at a particular time under a particular set

    of conditions. The output of a microarray experiment is called a e gene

    expressionprofile.

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    Drug Target:

    DNA microarray which allows the monitoring of gene expression level of

    thousands of genes simultaneously played a significant role in drug discovery.

    Animals may not be fully predictive of the response in human due to

    species variation. The pre-clinical studies in animals do not always detect

    drugs that prove to be toxic in human. Ex. tacrine, used to treat patients

    with Alzheimerds disease include hepatotoxicity by the elevation of liver

    transminase in human, but there was no evidence of liver toxicity in mice

    rats ordogs during pre-clinical development. Drug-inducedhepatotoxicity

    andliverdamage cause significant morbidity andmortality andrepresent a

    major challenge inthe area of drugdevelopment anddesign.

    Microarray databases are built on the expression data from well

    definedmarketedpharmaceuticals, classical chemical toxicants andfew

    proprietary drugs. These compounds have well definedpharmacological action

    andsome are rat andhuman specific, which result in data bases that are

    useful for predicting toxicity duringdevelopment of toxicity.

    Microarray can be usedto screen for changes in gene expression

    following exposure of tumour cells to drugs either in culture or in patients

    following treatment. Studies on this type may provide information on the

    precise mechanism of action of the drug or couldlead to the identification

    of early markers of drugresponse. For predicting the longer term clinical

    response to drug treatment, microarry couldalso yieldinformation about

    possible side effects, andidentify markers that, in clinical context, couldbe

    usedto predicts possible adverse effect events.

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    App

    lication of Microaray:

    y Use of Microarrays in Tissue Engineering, Phenotype Analysis, andMonitoring

    y Microarray Application to Oral Biology and Mediciney Gene discoveryy Drug discovery and developmenty Toxicological researchy Tumour classificationy Tumour growgh and progressiony Disease diagnosisy Detection, identification, and characterization of food-borne

    pathogens

    y DNA microarrays are being analyzed to understand the innate immunesystem, including the cellular response to various bacterialendotoxins

    y DNA microarraysare now being used to identify other genes that maybe regulatedin response to endotoxins, such as LPS, with the

    ultimate hopeof providing new drug targets for sepsis With the use

    of human umbilical vein endothelial cells as a model, investigators

    foundvarious genes that appear to be regulated in response toLPS. Many

    of the genes identified confirm already well-establishedLPS-

    regulated genes, whereas a few may represent new gene targets

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    y Microarray technology has also been used to monitor changes inmetabolic processes including aging

    Challenges:The limited availability or complete absence of in vivo human data adds

    additional challenges to the analysis of microarrays using comparative

    genomics. In such an instance, the effects observed using in vivo animal

    models and in vitro human data need to be projected to the effects in

    humans. Hence, a challenge is to extrapolate from these limited studies

    whole-body human effects while accounting for potentially not well-known

    or wellunderstood nonlinearities.

    y Lack of Appropriate Arraysy Lack of Comparable Studiesy Applications will encompass defining gene function;y Inferring functional networks and pathways;y Understanding how variation is distributed among individuals,

    populations, and species;

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    y Adams JC, Watt FM (1993). Regulation of development anddifferentiation by the extracellular matrix. Aharoni A, Keizer LCP,

    Bouwmeester HJ, Sun Z, Huerta MA, Verhoeven HA, et al. (2000).

    Identification of the SAAT gene involved in strawberry flavor

    biogenesis by use of DNA microarrays.

    y Alizadeh AA, Eisen MB, Davis ER, Ma C, Lossos IS, Rosenwald A, etal. (2000). Distinct types of diffuse large B-cell lymphoma identified

    by gene expression profiling.

    y Ashkenas J, Muschler J, Bissell MJ (1996). The extracellular matrix inepithelial biology: shared molecules and common themes in distant phyla.